Artificial Intelligence Jobs in Santa Clara, CA

Lead end-to-end development and scaling of an AI agents platform that automates customer interactions. Partner with engineering and OpenAI to design prompt strategies, guardrails, evaluation frameworks, and experiments to improve automation, accuracy, and customer satisfaction. Serve as technical translator, set platform standards, and drive production-grade rollout of LLM-based products with human-in-the-loop processes.

Lead end-to-end development and scaling of Jerry.ai's AI platform, designing prompt strategies, evaluation frameworks, and guardrails. Serve as technical translator across teams, drive experiments to improve automation rates, answer quality, and customer satisfaction, and partner with OpenAI to deploy new model and voice capabilities.

Lead end-to-end product development for an AI agents and platform that automates car-ownership workflows. Define roadmap, prompt strategies, evaluation frameworks, and guardrails. Partner with engineering to balance latency, cost, and accuracy; run experiments to improve automation rates and answer quality; collaborate with OpenAI on model and voice integrations and ship production-grade AI features.

Lead end-to-end development and scaling of an AI platform that automates inbound sales and service. Design prompt strategies, evaluation frameworks, guardrails, and experiments to improve automation, accuracy, latency, and customer satisfaction. Translate between engineering and business, establish AI platform standards, and partner with OpenAI on model and app integrations.

Lead end-to-end product development for an AI platform that automates sales and service using LLMs and agents. Define prompt strategies, evaluation frameworks, guardrails, and APIs; partner with engineering and OpenAI; run experiments to improve automation, accuracy, latency, cost, and customer satisfaction.

Lead end-to-end product development for Jerry.ai's AI platform, designing prompt strategies, evaluation frameworks, and guardrails. Translate technical tradeoffs across teams, drive experiments to improve automation and answer quality, and partner with OpenAI to integrate advanced models and voice capabilities into production.

Lead end-to-end development of Jerry.ai's AI platform, building and scaling LLM-driven agents and integrations. Define prompt strategies, evaluation frameworks, guardrails, and metrics to improve automation, quality, and customer satisfaction. Act as technical translator across teams and partner with OpenAI to deploy new model and voice capabilities.

Lead end-to-end development and scaling of Jerry.ai's AI agent platform, designing prompt strategies, evaluation frameworks, and guardrails. Partner with engineering and OpenAI, drive experiments to improve automation, answer quality, and customer satisfaction, and establish AI platform best practices and standards.

Lead end-to-end development and scaling of an AI agents/platform product, partner with engineering and OpenAI, design prompts, evaluations, and guardrails, drive experiments to improve automation, quality, and customer satisfaction, and establish platform standards across the org.

Build native AI infrastructure for TrueNAS: on-array embedding pipelines, GPU-accelerated inference, AIOps for anomaly detection and predictive maintenance, and integrations with MCP to enable agent-driven workflows and fleet-scale insights.

Develop logic design and RTL coding for SoC designs, integrate IP blocks, perform quality checks, and collaborate with verification teams. Lead architectural evaluations, define micro-architecture, optimize logic for power and performance, and mentor junior engineers.

The Applied AI Engineer will prototype AI solutions by building proofs-of-concept, integrating various AI tools, and collaborate with research and backend teams to refine and deploy AI memory solutions.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

The AI Researcher will lead research in embodied intelligence for defense systems, focusing on reinforcement learning, vision-language modeling, and building scalable AI models for autonomous applications in real-world environments.

The role involves researching and architecting next-gen AI systems, focusing on memory and communication bottlenecks, and collaborating on architecture-level design and performance modeling.

Lead product vision, strategy, and roadmap for generative and conversational AI solutions, conduct market research, and drive product delivery.

As a Product Manager for AI at Agora, you'll develop and execute strategies for AI-related products, advocate for customers, and collaborate with engineering and marketing teams to drive product success.

The role involves developing and productionizing security detection models, collaborating with security research, and shaping engineering culture as a founding team member.

Lead advanced analytics and AI initiatives in compliance, collaborating with data scientists and engineers, translating requirements, mentoring, and maintaining governance standards.

The role involves leading the product lifecycle for AI products, collaborating cross-functionally to define features, track success metrics, and enhance user experience.

Lead and execute high-impact AI initiatives, serving as a technical authority on agentic systems and fullstack development, while mentoring and optimizing infrastructure strategy.

Lead and architect AI transformations at Broadcom, overseeing large-scale projects and serving as a technical authority on AI systems, ensuring innovative, scalable solutions.

The AI Compiler Engineer will innovate in AI performance, optimize compiler processes, and collaborate on hardware/software co-design, advancing AI technologies for datacenter applications.

Lead research and architectural direction for AI systems communication at scale, conducting original research, optimizing hardware-software performance, and mentoring engineers.

Lead the design and implementation of GPU compute clusters for deep learning and high-performance workloads, manage large-scale systems and ensure efficient resource utilization.